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Information of the project and the call

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Searches for anomalies in gravitational-wave data as a tool for signal detection and detector characterization

2020/37/N/ST9/02151

Keywords:

gravitational waves anomalies machine learning

Descriptors:

  • ST9_14: Gravitational-wave astronomy

Panel:

ST9 - Astronomy and space science: astrophysics, astrochemistry, astrobiology, solar system, planetary systems, stellar, galactic and extragalactic astronomy, space science, instrumentation

Host institution :

Centrum Astronomiczne im. Mikołaja Kopernika Polskiej Akademii Nauk

woj.

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Filip Morawski 

Number of co-investigators in the project: 2

Call: PRELUDIUM 19 - announced on 2020-03-16

Amount awarded: 67 200 PLN

Project start date (Y-m-d): 2021-01-18

Project end date (Y-m-d): 2022-11-17

Project duration:: 22 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (3)
  1. Anomaly Detection in Gravitational Waves data using Convolutional AutoEncoders
    Authors:
    Filip Morawski, Michał Bejger, Elena Cuoco, Luigia Petre
    Academic press:
    Machine Learning: Science and Technology (rok: 2021, tom: 2, strony: 45014), Wydawca: Institute of Physics
    Status:
    Published
    DOI:
    10.1088/2632-2153/abf3d0 - link to the publication
  2. LSTM and CNN application for core-collapse supernova search in gravitational wave real data
    Authors:
    Alberto Iess, Elena Cuoco, Filip Morawski, Constantina Nicolaou, Ofer Lahav
    Academic press:
    Astronomy & Astrophysics (rok: 2023, tom: 669, strony: A42), Wydawca: EDP Sciences
    Status:
    Published
    DOI:
    10.1051/0004-6361/202142525 - link to the publication
  3. Detecting dense-matter phase transition signatures in neutron star mass-radius measurements as data anomalies using normalising flows
    Authors:
    Filip Morawski and Michał Bejger
    Academic press:
    Physical Review Letters C (rok: 2022, tom: 106, strony: 65802), Wydawca: American Physical Society
    Status:
    Published
    DOI:
    10.1103/PhysRevC.106.065802 - link to the publication

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